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蛋白酪氨酸磷酸酶1B新型肽靶点的预测与验证

Prediction and verification of novel peptide targets of protein tyrosine phosphatase 1B.

作者信息

Li Xun, Köhn Maja

机构信息

European Molecular Biology Laboratory, Genome Biology Unit, Meyerhofstrasse 1, 69117 Heidelberg, Germany; European Molecular Biology Laboratory-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.

European Molecular Biology Laboratory, Genome Biology Unit, Meyerhofstrasse 1, 69117 Heidelberg, Germany.

出版信息

Bioorg Med Chem. 2016 Aug 1;24(15):3255-8. doi: 10.1016/j.bmc.2016.03.030. Epub 2016 Mar 17.

DOI:10.1016/j.bmc.2016.03.030
PMID:27025565
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4957924/
Abstract

Phosphotyrosine peptides are useful starting points for inhibitor design and for the search for protein tyrosine phosphatase (PTP) phosphoprotein substrates. To identify novel phosphopeptide substrates of PTP1B, we developed a computational prediction protocol based on a virtual library of protein sequences with known phosphotyrosine sites. To these we applied sequence-based methods, biologically meaningful filters and molecular docking. Five peptides were selected for biochemical testing of their potential as PTP1B substrates. All five peptides were equally good substrates for PTP1B compared to a known peptide substrate whereas appropriate control peptides were not recognized, showing that our protocol can be used to identify novel peptide substrates of PTP1B.

摘要

磷酸酪氨酸肽是抑制剂设计和寻找蛋白质酪氨酸磷酸酶(PTP)磷蛋白底物的有用起点。为了鉴定PTP1B的新型磷酸肽底物,我们基于具有已知磷酸酪氨酸位点的蛋白质序列虚拟文库开发了一种计算预测方案。我们对这些序列应用了基于序列的方法、具有生物学意义的筛选器和分子对接。选择了五种肽进行其作为PTP1B底物潜力的生化测试。与已知肽底物相比,所有五种肽都是PTP1B同样好的底物,而合适的对照肽未被识别,这表明我们的方案可用于鉴定PTP1B的新型肽底物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/095d/4957924/fcd9a2e106b4/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/095d/4957924/e6a8c18c5eff/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/095d/4957924/e15fc8cb2ebf/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/095d/4957924/fcd9a2e106b4/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/095d/4957924/e6a8c18c5eff/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/095d/4957924/e15fc8cb2ebf/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/095d/4957924/fcd9a2e106b4/gr2.jpg

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本文引用的文献

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The human DEPhOsphorylation database DEPOD: a 2015 update.
人类去磷酸化数据库DEPOD:2015年更新版。
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Combining affinity proteomics and network context to identify new phosphatase substrates and adapters in growth pathways.结合亲和蛋白质组学和网络背景,鉴定生长途径中的新磷酸酶底物和衔接蛋白。
Front Genet. 2014 May 7;5:115. doi: 10.3389/fgene.2014.00115. eCollection 2014.
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